投稿時間:2022-02-10 13:29:38 RSSフィード2022-02-10 13:00 分まとめ(30件)

カテゴリー等	サイト名等	記事タイトル・トレンドワード等	リンクURL	頻出ワード・要約等/検索ボリューム	登録日
IT	気になる、記になる…	Belkin、｢磁気ポータブルワイヤレス充電パッド 7.5W｣の30％オフクーポンを配布中（4日間限定）	https://taisy0.com/2022/02/10/151869.html	持ち運び	2022-02-10 03:17:58
TECH	Engadget Japanese	『No Man's Sky』2022年夏にSwitch版発売決定。どこでも惑星開拓はじめよう	https://japanese.engadget.com/no-mans-sky-for-switch-033003527.html	nomanssky	2022-02-10 03:30:03
ROBOT	ロボスタ	ドローンがほかの飛行体との衝突を自動回避 「衝突防止自動管制技術」の実証試験に成功　空飛ぶクルマの社会実装を見据えて	https://robotstart.info/2022/02/10/drone-collision-prevention.html		2022-02-10 03:45:12
IT	ITmedia 総合記事一覧	[ITmedia Mobile] Google、新Galaxyシリーズ対応の新機能や「Wear OS」の「Googleアシスタント」対応など発表	https://www.itmedia.co.jp/mobile/articles/2202/10/news110.html	galaxy	2022-02-10 12:25:00
python	Pythonタグが付けられた新着投稿 - Qiita	【Project Euler】Problem 80: 平方根の小数展開	https://qiita.com/masa0599/items/1b9ef2741014dbb491aa	【ProjectEuler】Problem平方根の小数展開本記事はProjectEulerの「番以下の問題の説明は記載可能」という規定に基づいて回答のヒントが書かれていますので、自分である程度考えてみてから読まれることをお勧めします。	2022-02-10 12:56:20
js	JavaScriptタグが付けられた新着投稿 - Qiita	【JavaScript】西暦の年だけを用いて和暦の年を表示する方法	https://qiita.com/qwe001/items/62792c0e324cbacbd1f9		2022-02-10 12:56:29
js	JavaScriptタグが付けられた新着投稿 - Qiita	JavaScriptの関数	https://qiita.com/mac1130/items/18532227c6aa9d50b52e	JavaScriptの関数関数とは複数の処理を一つの処理にまとまりにしたもの。	2022-02-10 12:31:31
js	JavaScriptタグが付けられた新着投稿 - Qiita	サウンド使用中にwebブラウザを閉じると、ホーム画面にサウンドコントロールが表示される	https://qiita.com/toruotsubo/items/2f86910ed293447c8107	サウンド使用中にwebブラウザを閉じると、ホーム画面にサウンドコントロールが表示されるiPhone、iPad、Androidなどでサウンド使用中にwebブラウザを閉じると、ホーム画面にサウンドコントロールが表示され、webブラウザを閉じたままでもサウンドを再生できてしまいます。	2022-02-10 12:12:24
Linux	Ubuntuタグが付けられた新着投稿 - Qiita	[Ubuntu20.04]UnityとVSCodeでデバッグできる環境にする	https://qiita.com/kuro_take/items/a759316807448eff9d65	NETSDKをインストールには、次のコマンドを実行します。	2022-02-10 12:04:12
AWS	AWSタグが付けられた新着投稿 - Qiita	AWS App RunnerのカスタムVPC対応され、VPCリソースにアクセスできるようになった	https://qiita.com/yoshii0110/items/936c910c33a1a3e78f63	やってみようAPPRunnerにWafをかますさてさて、やってみようの検証はあくまで、今回のアップデートの確認のためやったのですが、次はこのアップデートでAppRunnerでこういうのもできるんじゃないかというのを検証してみたというものです。	2022-02-10 12:33:38
Linux	CentOSタグが付けられた新着投稿 - Qiita	2022年にCloudforecastを導入する	https://qiita.com/CIB-MC/items/c282754b1cbfbd85c98f	年にCloudforecastを導入するはじめにリソース監視ツールのCloudforecastは便利なのですが、導入手順のドキュメントがいまいち整備されていないので個人的にメモ。	2022-02-10 12:46:46
海外TECH	DEV Community	Handle multiple environments in ReactJs [dev, stag, prod]	https://dev.to/rajeshroyal/handle-multiple-environments-in-reactjs-dev-stag-prod-1b9e	Handle multiple environments in ReactJs dev stag prod Create React App provides out of the box support for the environment variables Just create a env file and you are ready to go Why we need multiple environments  When you are doing development in multiple stages you are definitely going to have different different domain names For ex In your local you are using localhost api getuser and when you deploy it to prod or stag you may need it to be something domain com api getuser So handle this scenarios you can create separate environment file for each environment This is one of the usage cases you may have more reasons to do so Scenario I was facing the same problem as above that we have different different endpoints and credentials not really for staging and production To handle this scenario we used separate env file for the particular environment How to Handle it While using create React App If you Don t know how to add environment file to React please read below post How to use env file in react jsInstall env cmd package from NPM Create env files in your root directory dev env stag env env Add you environment variables to your files Update your package json scripts as below package json scripts start react scripts start will use env default build react scripts build postinstall husky install start dev env cmd f dev env npm start use dev env file build beta env cmd f stag env npm run build use stag env Now we have three environments for our React app To run app in dev environment use start dev cmd To build and run app in beta use build stag cmd To build in production and run use build cmd To use these variables write process env REACT APP MYVARNAME and It will return the value of current environment variable You can add custom variables to your env files to find out in which environment your app is running Usage example REMOVE CONSOLES remove the working of console logs remove any accidental use of console logs useEffect gt if process env NODE ENV production process env REACT APP ENV STAGING GlobalDebug false false I know this is a useless comparison if process env REACT APP ENV DEVELOPMENT amp amp process env REACT APP ENV STAGING amp amp process env REACT APP ENV PRODUCTION doSomethingNesty getDeviceId then uDeviceId gt dispatch setUserDeviceId uDeviceId dispatch References React env cmdcreate React APP CRAcomments and improvements are welcome see you in next post TADA	2022-02-10 03:50:11
海外TECH	DEV Community	Streaming Data Solutions on AWS - Part 4	https://dev.to/aws-builders/streaming-data-solutions-on-aws-part-4-3h19	Streaming Data Solutions on AWS Part Processing real time data as it arrives can enable you to make decisions much faster than is possible with traditional data analytics technologies You need a different set of tools to collect prepare and process real time streaming data than those tools that you have traditionally used for batch analytics With traditional analytics you gather the data load it periodically into a database and analyze it hours days or weeks later Analyzing real time data requires a different approach Streaming data solutions on AWS is a series containing different articles that review several scenarios for streaming workflows In these scenarios streaming data amp processing it provides the example companies with the ability to add new features and functionality By analyzing data as it gets created they can gain insights into what their business is doing AWS streaming services enable you to focus on your application to make time sensitive business decisions rather than deploying and managing the infrastructure Scenario Device sensors real time anomaly detection and notificationsCompany ABCLogistics transports highly flammable petroleum products such as gasoline liquid propane LPG and naphtha from the port to various cities There are hundreds of vehicles which have multiple sensors installed on them for monitoring things such as location engine temperature temperature inside the container driving speed parking location road conditions and so on One of the requirements ABCLogistics has is to monitor the temperatures of the engine and the container in real time and alert the driver and the fleet monitoring team in case of any anomaly To detect such conditions and generate alerts in real time ABCLogistics implemented the following architecture on AWS ABCLogistics s device sensors real time anomaly detection and notifications architectureData from device sensors is ingested by AWS IoT Gateway where the AWS IoT rules engine will make the streaming data available in Amazon Kinesis Data Streams Using Kinesis Data Analytics ABCLogistics can perform the real time analytics on streaming data in Kinesis Data Streams Using Kinesis Data Analytics ABCLogistics can detect if temperature readings from the sensors deviate from the normal readings over a period of ten seconds and ingest the record onto another Kinesis Data Streams instance identifying the anomalous records Amazon Kinesis Data Streams then invokes Lambda functions which can send the alerts to the driver and the fleet monitoring team through Amazon SNS Data in Kinesis Data Streams is also pushed down to Amazon Kinesis Data Firehose Amazon Kinesis Data Firehose persists this data in Amazon S allowing ABCLogistics to perform batch or near real time analytics on sensor data ABCLogistics uses Amazon Athena to query data in S and Amazon QuickSight for visualizations For long term data retention the S Lifecycle policy is used to archive data to Amazon S Glacier Important components of this architecture are detailed next Amazon Kinesis Data AnalyticsAmazon Kinesis Data Analytics enables you to transform and analyze streaming data and respond to anomalies in real time It is a serverless service on AWS which means Kinesis Data Analytics takes care of provisioning and elastically scales the infrastructure to handle any data throughput This takes away all the undifferentiated heavy lifting of setting up and managing the streaming infrastructure and enables you to spend more time on writing steaming applications With Amazon Kinesis Data Analytics you can interactively query streaming data using multiple options including Standard SQL Apache Flink applications in Java Python and Scala and build Apache Beam applications using Java to analyze data streams These options provide you with flexibility of using a specific approach depending on the complexity level of streaming application and source target support The following section discusses Kinesis Data Analytics for Flink Applications option Amazon Kinesis Data Analytics for Apache Flink applicationsApache Flink is a popular open source framework and distributed processing engine for stateful computations over unbounded and bounded data streams Apache Flink is designed to perform computations at in memory speed and at scale with support for exactly one semantics Apache Flink based applications help achieve low latency with high throughput in a fault tolerant manner With Amazon Kinesis Data Analytics for Apache Flink you can author and run code against streaming sources to perform time series analytics feed real time dashboards and create real time metrics without managing the complex distributed Apache Flink environment You can use the high level Flink programming features in the same way that you use them when hosting the Flink infrastructure yourself Kinesis Data Analytics for Apache Flink enables you to create applications in Java Scala Python or SQL to process and analyze streaming data A typical Flink application reads the data from the input stream or data location or source transforms filters or joins data using operators or functions and stores the data on output stream or data location or sink The following architecture diagram shows some of the supported sources and sinks for the Kinesis Data Analytics Flink application In addition to the pre bundled connectors for source sink you can also bring in custom connectors to a variety of other source sinks for Flink Applications on Kinesis Data Analytics Apache Flink application on Kinesis Data Analytics for real time stream processingDevelopers can use their preferred IDE to develop Flink applications and deploy them on Kinesis Data Analytics from AWS Management Console or DevOps tools Amazon Kinesis Data Analytics StudioAs part of Kinesis Data Analytics service Kinesis Data Analytics Studio is available for customers to interactively query data streams in real time and easily build and run stream processing applications using SQL Python and Scala Studio notebooks are powered by Apache Zeppelin Using Studio notebook you have the ability to develop your Flink Application code in a notebook environment view results of your code in real time and visualize it within your notebook You can create a Studio Notebook powered by Apache Zeppelin and Apache Flink with a single click from Kinesis Data Streams and Amazon MSK console or launch it from Kinesis Data Analytics Console Once you develop the code iteratively as part of the Kinesis Data Analytics Studio you can deploy a notebook as a Kinesis data analytics application to run in streaming mode continuously reading data from your sources writing to your destinations maintaining long running application state and scaling automatically based on the throughput of your source streams Earlier customers used Kinesis Data Analytics for SQL Applications for such interactive analytics of real time streaming data on AWS Kinesis Data Analytics for SQL applications is still available but for new projects AWS recommends that you use the new Kinesis Data Analytics Studio Kinesis Data Analytics Studio combines ease of use with advanced analytical capabilities which makes it possible to build sophisticated stream processing applications in minutes For making the Kinesis Data Analytics Flink application fault tolerant you can make use of checkpointing and snapshots as described in the Implementing Fault Tolerance in Kinesis Data Analytics for Apache Flink Kinesis Data Analytics Flink applications are useful for writing complex streaming analytics applications such as applications with exactly one semantics of data processing checkpointing capabilities and processing data from data sources such as Kinesis Data Streams Kinesis Data Firehose Amazon MSK Rabbit MQ and Apache Cassandra including Custom Connectors After processing streaming data in the Flink application you can persist data to various sinks or destinations such as Amazon Kinesis Data Streams Amazon Kinesis Data Firehose Amazon DynamoDB Amazon OpenSearch Service Amazon Timestream Amazon S and so on The Kinesis Data Analytics Flink application also provides sub second performance guarantees Apache Beam applications for Kinesis Data AnalyticsApache Beam is a programming model for processing streaming data Apache Beam provides a portable API layer for building sophisticated data parallel processing pipelines that may be run across a diversity of engines or runners such as Flink Spark Streaming Apache Samza and so on You can use the Apache Beam framework with your Kinesis data analytics application to process streaming data Kinesis data analytics applications that use Apache Beam use Apache Flink runner to run Beam pipelines SummaryBy making use of the AWS streaming services Amazon Kinesis Data Streams Amazon Kinesis Data Analytics and Amazon Kinesis Data Firehose ABCLogistics can detect anomalous patterns in temperature readings and notify the driver and the fleet management team in real time preventing major accidents such as complete vehicle breakdown or fire Hope this guide helps you understand how to Design a Streaming Data Solution on AWS for a Device sensors real time anomaly detection and notifications scenario Let me know your thoughts in the comment section And if you haven t yet make sure to follow me on below handles connect with me on LinkedInconnect with me on Twitter‍follow me on github️Do Checkout my blogs Like share and follow me for more content ltag user id follow action button background color important color fac important border color important Adit ModiFollow Cloud Engineer AWS Community Builder x AWS Certified x Azure Certified Author of Cloud Tech DailyDevOps amp BigDataJournal DEV moderator Reference Guide	2022-02-10 03:22:51
ニュース	BBC News - Home	Anti-Semitic hate incidents at new high in 2021, charity	https://www.bbc.co.uk/news/uk-60322106?at_medium=RSS&at_campaign=KARANGA	charitythe	2022-02-10 03:24:50
GCP	Google Cloud Platform Japan 公式ブログ	Google Workspace Essentials でコラボレーションを展開	https://cloud.google.com/blog/ja/products/workspace/unlock-collaboration-with-google-workspace-essentials/	EssentialsStarterを使用すると、組織がハイブリッド時代の業務に対応していない従来の生産性向上ツールをまだ利用していても、従業員やチームはサイロ化を解消し、新しいやり方で連携できるようになります。	2022-02-10 05:00:00
北海道	北海道新聞	鹿児島・十島村が日本復帰７０年　戦後、米軍政下に	https://www.hokkaido-np.co.jp/article/644143/	鹿児島県十島村	2022-02-10 12:19:00
北海道	北海道新聞	北朝鮮ミサイルで緊密連携　日米韓防衛相が電話会談	https://www.hokkaido-np.co.jp/article/644116/	国防長官	2022-02-10 12:05:29
北海道	北海道新聞	ロコ・ソラーレ、王者相手に初戦　カーリング女子１次リーグ	https://www.hokkaido-np.co.jp/article/644119/	北京冬季五輪	2022-02-10 12:13:03
北海道	北海道新聞	政府、園児マスク推奨を明記　コロナ対策方針案、留意点も	https://www.hokkaido-np.co.jp/article/644140/	新型コロナウイルス	2022-02-10 12:14:00
北海道	北海道新聞	小樽の保育関係者　「園児にマスク」に戸惑い　感染予防理解の声も	https://www.hokkaido-np.co.jp/article/643944/	厚生労働省	2022-02-10 12:16:09
北海道	北海道新聞	愛知県が自動運転実験　ジブリパーク開業予定の公園	https://www.hokkaido-np.co.jp/article/644139/	地球博記念公園	2022-02-10 12:14:00
北海道	北海道新聞	ハーフパイプ冨田せなが「銅」　日本女子初メダル	https://www.hokkaido-np.co.jp/article/644129/	冨田せな	2022-02-10 12:13:00
北海道	北海道新聞	東証、午前終値２万７５９８円　好決算で買い	https://www.hokkaido-np.co.jp/article/644128/	日経平均株価	2022-02-10 12:13:00
マーケティング	MarkeZine	【ウェビナー】自社EC売上の約6割に店舗スタッフの投稿が関与する、BEAMSのOMO戦略とは？	http://markezine.jp/article/detail/38314	beams	2022-02-10 12:30:00
IT	週刊アスキー	正常進化のGalaxy S22シリーズと最大14.6型のGalaxy Tabシリーズが飛び出たUnpacked	https://weekly.ascii.jp/elem/000/004/083/4083110/	galaxys	2022-02-10 12:30:00
IT	週刊アスキー	マクドナルド新作「ひとくちチュロス」2年かけて開催、長さおよそ6cmで気軽にパクリ	https://weekly.ascii.jp/elem/000/004/083/4083129/	期間限定	2022-02-10 12:30:00
IT	週刊アスキー	楽天モバイル、オリジナルの人気スリムスマホ「Rakuten Hand」に5G対応版	https://weekly.ascii.jp/elem/000/004/083/4083132/	android	2022-02-10 12:30:00
IT	週刊アスキー	から揚げ弁当340円、かつ丼390円【ほっともっと】18日からからセール	https://weekly.ascii.jp/elem/000/004/083/4083125/	hottomotto	2022-02-10 12:20:00
マーケティング	AdverTimes	CCCのエンタメ事業会社が14.4億円調達　博報堂DYMP、凸版ら	https://www.advertimes.com/20220210/article376685/	資金調達	2022-02-10 03:52:31
GCP	Cloud Blog JA	Google Workspace Essentials でコラボレーションを展開	https://cloud.google.com/blog/ja/products/workspace/unlock-collaboration-with-google-workspace-essentials/	EssentialsStarterを使用すると、組織がハイブリッド時代の業務に対応していない従来の生産性向上ツールをまだ利用していても、従業員やチームはサイロ化を解消し、新しいやり方で連携できるようになります。	2022-02-10 05:00:00